> On Oct 23, 2015, at 6:13 PM, Charles R Harris <charlesr.har...@gmail.com>
> wrote:
>
>
>
>> On Thu, Oct 22, 2015 at 5:47 PM, Chris Barker - NOAA Federal
>> <chris.bar...@noaa.gov> wrote:
>>
>>> I think it would be good to keep the usage to read binary data at least.
>>
>> Agreed -- it's only the text file reading I'm proposing to deprecate. It was
>> kind of weird to cram it in there in the first place.
>>
>> Oh, fromfile() has the same issues.
>>
>> Chris
>>
>>
>>> Or is there a good alternative to `np.fromstring(<bytes>, dtype=...)`? --
>>> Marten
>>>
>>>> On Thu, Oct 22, 2015 at 1:03 PM, Chris Barker <chris.bar...@noaa.gov>
>>>> wrote:
>>>> There was just a question about a bug/issue with scipy.fromstring (which
>>>> is numpy.fromstring) when used to read integers from a text file.
>>>>
>>>> https://mail.scipy.org/pipermail/scipy-user/2015-October/036746.html
>>>>
>>>> fromstring() is bugging and inflexible for reading text files -- and it is
>>>> a very, very ugly mess of code. I dug into it a while back, and gave up --
>>>> just to much of a mess!
>>>>
>>>> So we really should completely re-implement it, or deprecate it. I doubt
>>>> anyone is going to do a big refactor, so that means deprecating it.
>>>>
>>>> Also -- if we do want a fast read numbers from text files function (which
>>>> would be nice, actually), it really should get a new name anyway.
>>>>
>>>> (and the hopefully coming new dtype system would make it easier to write
>>>> cleanly)
>>>>
>>>> I'm not sure what deprecating something means, though -- have it raise a
>>>> deprecation warning in the next version?
>
> There was discussion at SciPy 2015 of separating out the text reading
> abilities of Pandas so that numpy could include it. We should contact Jeff
> Rebeck and see about moving that forward.
>
> Chuck
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IIRC Thomas Caswell was interested in doing this :)
Jeff
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